Paolo PeronaEnseignement et PhD Doctorant·es actuel·les Junjia Kang, Meghan Ellen Irving, Yahel Eliyahu-Yakir, Romain Van Mol, Francesca Padoan A dirigé les thèses EPFL de Lorenzo Gorla, Katharina Maria Edmaier, Samuel Luke Vorlet A co-dirigé les thèses EPFL de Amin Niayifar Cours Durabilité ENV-101 Ce cours présente les enjeux mondiaux de la durabilité. Il introduit les limites planétaires, leur interconnexion systémique et les thèmes de justice sociale. L'approche interdisciplinaire initie au travai
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
Paolo BenettinI was born in Padova, Italy, in 1986. After high school, I started the Environmental Engineering program at the University of Padova (Bachelor and Master), where I followed the 'soil protection' curriculum. During my Master studies I spent a semester as Erasmus student at Wageningen University (Wageningen, the Netherlands) to follow courses in Hydrology. After graduation, I decided to bring my education further and I started a Ph.D. at the civil and environmental engineering department at the University of Padova. My Ph.D. thesis focused on hydrologic transport and travel time distributions at the catchment scale. My contribution to the subject included both new theoretical formulations and extensive numerical applications to real catchments. During my Ph.D., I also spent 7 months as visiting research fellow at Virginia Tech University (Blacksburg, USA). Since I arrived at EPFL as post-doc in 2015, I started being involved in field and experimental activities, which allowed me to learn about practical experimental problems. In 2017 I had the opportunity to by hired by the ECHO laboratory as a permanent scientist, conducting research in the field of catchment hydrology.
Laurent VillardOriginaire de Vauffelin (BE), Laurent Villard est né en 1961. Après avoir obtenu le diplôme d'ingénieur physicien de l'EPFL en 1983, il est assistant au CRPP où il entame une thèse. Ses études portent sur l'étude théorique du chauffage des plasmas par ondes radiofréquences, développant pour cela un code de calcul numérique sous contrat avec le Joint European Torus (JET, Angleterre). Il obtient en 1987 le doctorat ès sciences. En 1988, il est engagé en tant que chargé de cours à l'Université d'Addis Abeba, enseignant l'électromagnétisme et l'électrodynamique. En 1989 et 1990, il rejoint le Polytechnic Education Development Centre de l'Institute of Technology of Bandung (ITB, Indonésie). Ses activités contribuent à la formation et au soutien du personnel enseignant des dix-sept écoles polytechniques nouvellement créées en Indonésie. A la fin 1990, il revient au CRPP en tant que collaborateur scientifique. En 1993 il est nommé professeur assistant. En 1999, il est nommé maître d'enseignement et de recherche, puis, en 2005, professeur titulaire. En collaboration avec JET et General Atomics (USA) il étudie les instabilités qui peuvent être provoquées par les particules énergétiques issues du processus de fusion nucléaire. Avec des scientifiques du Keldysh Institute (Moscou), il s'intéresse au calcul de l'équilibre et de la stabilité de configurations du type tokamak. Enfin, en collaboration notamment avec le Max-Planck Institute fuer Plasma Physik, ses recherches portent sur la simulation numérique, par calcul à haute performance (HPC), de la turbulence dans les plasmas magnétisés.
Elena RaveraEnseignement et PhD Cours Terra Epidermis PENS-211 Ce projet transversal vise à expérimenter autour d'un cas d'étude choisi, les spécificités de « l'envers du sol ». Sur un site choisi, les étudiants seront invités à proposer un geste technique et architectural unique, et à synthétiser leur concept sous forme graphique.
Kamil SedlákEnseignement et PhD Doctorant·es actuel·les Daniel Louis Arthur Biek Cours Fusion and industrial plasma technologies PHYS-632 The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and experimental background to the various topics.
Martin Alois RohrmeierEnseignement et PhD Doctorant·es actuel·les Joris Monnet, Marina Borsodi-Benson, Xinyi Guan, Xiaoxuan Wang, Zeng Ren A dirigé les thèses EPFL de Fabian Claude Moss, Daniel Harasim, Christoph Finkensiep, Johannes Hentschel, Gabriele Cecchetti, Shuxin Meng Cours Digital musicology DH-401 Ce cours a pour but de familiariser les étudiants avec les thèmes principaux en musicologie digitale, ainsi que les approches et méthodes théoriques essentielles. Dans la partie pratique, les étudiants feron
Pierre MagistrettiPierre J. Magistretti is an internationally-recognized neuroscientist who has made significant contributions in the field of brain energy metabolism. His group has discovered some of the cellular and molecular mechanisms that underlie the coupling between neuronal activity and energy consumption by the brain.
This work has considerable ramifications for the understanding of the origin of the signals detected with the current functional brain imaging techniques used in neurological and psychiatric research (see for example Magistretti et al, Science, 283: 496 497, 1999). He is the author of over 100 articles published in peer-reviewed journals.
He has given over 80 invited lectures at international meetings or at universities in Europe and North America, including the 2000 Talairach Lecture at the Functional Mapping of the Human Brain Conference. In November 2000 he has been a Mc Donnel Visiting Scholar at Washington University School of Medicine.
Pierre J. Magistretti is the President-Elect (2002 2004) of the Federation of European Neuroscience Societies (FENS) which has a membership of over 15000 European neuroscientists. He has been first president of the Swiss Society for Neuroscience (1997-1999) and the first Chairman of the Department of Neurosciences of the University of Lausanne (1996 1998).
Pierre J. Magistretti is Professor of Physiology (since 1988) at the University of Lausanne Medical School. He has been Vice-Dean of the University of Lausanne Medical School from 1996 to 2000. Pierre Magistretti, is Director of the Brain Mind Institute at EPFL and Director of the Center for Psychiatric Neuroscience of the University of Lausanne and CHUV. He is also Director of the NCCR SYNAPSY "the synaptic bases of mental diseases".
POSITIONS AND HONORS
MAIN POSITION HELD
1988-2004 Professor of Physiology, University of Lausanne Medical School
1996-2000 Vice-Dean for Preclinical Departments, University of Lausanne Medical School
2001-2004 Chairman, Department of Physiology, University of Lausanne Medical School
2004-present Professor and Director, Center for Psychiatric Neuroscience, Department of Psychiatry, University of Lausanne Medical School and Hospitals (UNIL-CHUV) (Joint appointment with EPFL)
2005-2008 Professor and Co-Director, Brain Mind Institute, Federal Institute of Technology (EPFL), Lausanne (Joint appointment with UNIL-CHUV)
2007-present Chairman of the Scientific Advisory Board of Centre dImagerie Biomédicale (CIBM), an Imaging Consortium of the Universities, University Hospitals of Lausanne and Geneva and of Ecole Polytechnique Fédérale de Lausanne
2008-present Professor and Director, Brain Mind Institute, Federal Institute of Technology (EPFL), Lausanne Joint appointment with UNIL-CHUV)
2010-present Director, National Center for Competence in Research (NCCR)
The synaptic bases of mental diseases of the Swiss National Science Foundation
2010-present Secretary General, International Brain Research Organization (IBRO)
MAIN HONORS AND AWARDS
1997 Recipient of the Theodore-Ott Prize of the Swiss Academy of Medical Sciences
2001 Elected Member of Academia Europaea
2001 Elected Member of the Swiss Academy of Medical Sciences, ad personam
2002 Recipient of the Emil Kraepelin Guest Professorship, Max Planck Institute für Psychiatry, Münich
2006 Elected Professor at Collège de France, Paris, International Chair 2007-2008
2009 Goethe Award for Psychoanalytic Scholarship, Canadian Psychological Association
2011 Camillo Golgi Medal Award, Golgi Fondation
2011 Elected Member of the American College of NeuroPsychopharmacology (ACNP)
Paolo De Los RiosEnseignement et PhD Doctorant·es actuel·les María Li López Bautista, Subhasis Dehury, Lisa Gennai A dirigé les thèses EPFL de Giovanni Salvi, Thomas Petermann, David Gfeller, Cécile Caretta Cartozo, David Morton de Lachapelle, Carlo Maffi, Lucio Floretta, Salvatore Assenza, Duccio Malinverni, Alberto Stefano Sassi, Andrea Martini, Solange Flatt, Adélaïde Alice Mohr, Shiling Liang, Alexandra Shelest, Davide Cois A co-dirigé les thèses EPFL de Lorenzo Talamanca Cours EDCB seminar series BIOENG-606
Athanasios NenesEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Ernest Abboud A dirigé les thèses EPFL de Paraskevi Georgakaki, Lucile Ricard Cours Atmospheric processes: from cloud to global scales ENV-407 L'objectif principal est de voir les processus atmosphériques les plus importants de l'échelle locale à l'échelle globale. Le cours démarrera avec les processus nuageux, continuera avec les phénomènes synoptiques comme les cyclones extratropicaux et fronts, pour finir par la modélisation num
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Benoît CrouzyEnseignement et PhD A co-dirigé les thèses EPFL de Sophie Erb Cours Environmental transport phenomena ENG-420 Ce cours a pour objectif d'introduire les aspects principaux de la diffusion moléculaire et turbulente. Les processus de dispersion sont traités, avec un accent sur la modélisation mathématique, sur les solutions pour des cas idéaux ainsi que sur les applications aux sciences de l'environnement.
Marina PivettaEnseignement et PhD Doctorant·es actuel·les Serni Toda Cosi, Simon Vejs Kjeldgaard-Jensen A co-dirigé les thèses EPFL de Giulia Pacchioni, Jean-Guillaume De Groot, Sébastien Reynaud Cours Frontiers in nanosciences PHYS-407 Le cours couvre plusieurs concepts expérimentaux et théoriques de la science à l'échelle nanométrique, des aspects fondamentaux tels que l'effet tunnel et les effets de taille, aux sujets d'actualité tels que le transport quantique et le nano-magnétisme. Physique du so
Friedrich EisenbrandEnseignement et PhD Doctorant·es actuel·les Ruben Manuel Skorupinski, Neta Singer, Lukas Vogl, Jiaye Wei A dirigé les thèses EPFL de Thomas Rothvoss, Nicolai Hähnle, Martin Niemeier, Adrian Aloysius Bock, Carsten Moldenhauer, Alfonso Bolívar Cevallos Manzano, Manuel Francesco Aprile, Igor Malinovic, Christoph Hunkenschröder, Moritz Andreas Venzin, Jana Tabea Cslovjecsek A co-dirigé les thèses EPFL de Puck van Gerwen Cours Algèbre linéaire avancée II - diagonalisation MATH-115(a) L'objectif
Samy BengioExpertise
Algorithmes d'apprentissageTraitement de la parole automatiqueAuthentification de personnesTraitement multimodalTraitement de sequencesReseaux de neurones, support vector machinesModeles de markov caches, mixtures de gaussiennesetc
Expertise
Algorithmes d'apprentissageTraitement de la parole automatiqueAuthentification de personnesTraitement multimodalTraitement de sequencesReseaux de neurones, support vector machinesModeles de markov caches, mixtures de gaussiennesetc
Mission
Samy Bengio est cher
